Pilot Study Datasets: Drop-Sheet Sampling of Insects in Macadamia Orchards

A 2024 pilot study assessed drop-sheeting as a novel sampling method for surveying insects within macadamia orchards. The dataset compares five drop-sheet size treatments for their ability to represent insect communities effectively and efficiently. It was authored by Reid Emery and shared on figshare in 2026.

Use Cases

• Compare insect community representation based on different drop-sheet sizes.
• Assess the efficiency of a novel drop-sheet sampling method for orchard insects.
• Analyze insect biodiversity within macadamia orchards using the described sampling technique.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Includes R Markdown (RMD) files suggesting reproducible analysis workflows.

Limitations

• Dataset is very small at 18.3 KB, indicating limited scope.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Produced from a pilot study comparing five drop-sheet size treatments.

Time Range

2024

Freshness

Last updated 2026-05-11 01:10:10; freshness should be verified.

Geography

Macadamia orchards (specific location unknown).